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    • 2. 发明申请
    • Unified spatial image processing
    • 统一空间图像处理
    • US20090034870A1
    • 2009-02-05
    • US11888572
    • 2007-07-31
    • Renato KeshetPavel KisilevMani FischerDoron ShakedBoris Oicherman
    • Renato KeshetPavel KisilevMani FischerDoron ShakedBoris Oicherman
    • G06K9/40
    • G06T5/001G06T2207/20016G06T2207/20028
    • Various embodiments of the present invention are directed to methods and systems for image processing that are unified in nature, carrying out many image-enhancement tasks together in a unified approach, rather than sequentially executing separately implemented, discrete image-enhancement tasks. In addition, the methods and systems of the present invention can apply image-enhancement to local, spatial regions of an image, rather than relying on global application of enhancement techniques that result in production of artifacts and distortions. In certain embodiments of the present invention, various different types of intermediate images are produced at each of a number of different scales from a received, input image. From these intermediate images, a photographic mask and temporary image are obtained, and the photographic mask and temporary image are then employed, along with a look-up table or function that receives values from the photographic mask and temporary image, to compute an enhanced, output image. In a described embodiment of the present invention, the intermediate images include low-pass, band-pass, photographic-mask, and temporary-image intermediate images computed at each of a number of different scales.
    • 本发明的各种实施例涉及用于图像处理的方法和系统,这些方法和系统本质上是统一的,以统一的方式一起执行许多图像增强任务,而不是顺序执行单独实现的离散图像增强任务。 此外,本发明的方法和系统可以将图像增强应用于图像的局部,空间区域,而不是依赖于导致产生伪像和失真的增强技术的全局应用。 在本发明的某些实施例中,在从接收的输入图像的多个不同尺度的每一个处产生各种不同类型的中间图像。 从这些中间图像,获得摄影掩模和临时图像,然后使用摄影掩模和临时图像,以及从摄影掩模和临时图像接收值的查找表或功能,以计算增强的, 输出图像。 在本发明的一个描述的实施例中,中间图像包括在多个不同尺度的每一个处计算的低通,带通,照相掩模和临时图像中间图像。
    • 6. 发明申请
    • IMAGE PROCESSING USING TARGET VALUES
    • 使用目标值的图像处理
    • US20110129148A1
    • 2011-06-02
    • US12808568
    • 2007-12-17
    • Pavel KisilevBoris Oicherman
    • Pavel KisilevBoris Oicherman
    • G06K9/00G06K9/36
    • G06T5/40G06T5/009G06T2207/20092H04N1/6027
    • Provided are, among other things, systems, methods and techniques for processing an image. In one representative implementation, input image values are obtained for an input image; values for image parameters are measured across the input image values; target values for the image parameters are input; a transformation is applied to the input image values to produce corresponding output image values, the transformation having been generated as a result of a plurality of individual image-value operations that have been constrained by the target values in order to control the image parameters across the output image values; and a processed output image is output based on the output image values.
    • 除其他之外,提供用于处理图像的系统,方法和技术。 在一个代表性实现中,为输入图像获得输入图像值; 跨输入图像值测量图像参数的值; 输入图像参数的目标值; 将变换应用于输入图像值以产生相应的输出图像值,该变换已经被已经被目标值约束的多个单独的图像值操作的结果生成,以便控制跨越图像参数的图像参数 输出图像值; 并且基于输出图像值输出经处理的输出图像。
    • 8. 发明申请
    • Signal noise estimation
    • 信号噪声估计
    • US20070223839A1
    • 2007-09-27
    • US11388152
    • 2006-03-22
    • Pavel KisilevDoron ShakedMani Fischer
    • Pavel KisilevDoron ShakedMani Fischer
    • G06K9/36
    • G06K9/40
    • Provided are systems, methods and techniques that estimate the noise level in a signal, such as an image, by ordering windows in the signal based on calculated measures of the variability within each window (i.e., ordering from lowest to highest or, alternatively, from highest to lowest). That order information is then used together with the calculated measures of variability to form an estimate of the noise level. Typically, the techniques of the present invention generate this estimate based on the windows having the lowest or the second-lowest or the several lowest, depending upon the nature of the image, measures of variability.
    • 提供的是通过基于在每个窗口内的可变性的计算测量值(即,从最低到最高的顺序,或从另一个窗口的顺序)来对信号中的窗口排序窗口来估计诸如图像的信号中的噪声水平的系统,方法和技术 从最高到最低)。 然后将该订单信息与所计算的变异度量一起使用以形成噪声水平的估计。 通常,本发明的技术基于具有最低或最低或最低数目的窗口,这取决于图像的性质,可变性的度量,来生成该估计值。
    • 10. 发明授权
    • Transferring colors from a source object to a target object
    • 将颜色从源对象传输到目标对象
    • US08494262B2
    • 2013-07-23
    • US13114736
    • 2011-05-24
    • Daniel FreedmanPavel Kisilev
    • Daniel FreedmanPavel Kisilev
    • G06K9/00
    • H04N1/603G06T7/74
    • A technique includes using a processor-based machine to determine a discrete color flow transformation to map target colors of a target object to source colors of a source object based at least in part on a first histogram indicating a color distribution of the target object and a second histogram of a color distribution indicating the source object. The technique includes determining a continuous color flow transformation to map the target colors to the source colors based at least in part on the discrete color flow transformation; and transforming the target colors of the target object to generate a third object based at least in part on the continuous color flow transformation.
    • 一种技术包括使用基于处理器的机器来至少部分地基于指示目标对象的颜色分布的第一直方图来确定离散颜色流变换以将目标对象的目标颜色映射到源对象的源颜色, 指示源对象的颜色分布的第二直方图。 该技术包括:至少部分地基于离散的颜色流变换来确定连续的颜色流变换以将目标颜色映射到源颜色; 以及至少部分地基于所述连续色彩流转换来转换所述目标对象的目标颜色以生成第三对象。